Operating performance estimation device, operating performance estimation method, water supply system, and program

Abstract

To facilitate diagnosing the operation performance of individual fluid machines.SOLUTION: An operation performance estimation device in an embodiment comprises: a performance curve creation processing unit for creating information on a performance curve indicating an operation performance of an operating fluid machine on the basis of measurement data indicating a power consumption of the operating fluid machine out of a plurality of the fluid machines, and a flow rate and a pressure of fluid discharged by the operating fluid machine; an initial performance curve creation processing unit for creating information on an initial performance curve indicating an initial operation performance of the operating fluid machine on the basis of test result information indicating a result of an initial performance test on the operating fluid machine; and a curve drawing processing unit for drawing the performance curve of the operating fluid machine and the initial performance curve such that the curves can be compared with each other, on the basis of the information on the performance curve created by the performance curve creation processing unit and the information on the initial performance curve created by the initial performance curve creation processing unit.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] Embodiments of the present invention relate to an operating performance estimation device, an operating performance estimation method, a water supply system, and a program. [Background technology]

[0002] In water supply facilities, pumps are used to transport water that needs to be treated. Pumps also serve as a means of supplying purified water to individual consumers. Therefore, pumps account for the majority of the electricity consumed in water supply operations, and it is known that using efficient pumps contributes to energy conservation in water supply facilities. Meanwhile, in sewage treatment facilities, pumps are used not only for transporting water but also for transporting sludge. Furthermore, in microbial treatment, blowers, which are air supply equipment with a similar structure to pumps, are used. In the operation of sewage systems, the power consumption of pumps and blowers accounts for the majority of the total energy consumption.

[0003] Generally, fluid machinery such as pumps and blowers experience a decline in operational performance due to equipment deterioration with continuous use. Furthermore, the likelihood of failure increases. Therefore, it is desirable to diagnose the operational performance of fluid machinery and perform regular inspections and maintenance. However, this is labor-intensive, so methods have been proposed to diagnose the operational performance of fluid machinery using measurement values ​​from sensors and other devices. [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] Patent No. 5395944 [Patent Document 2] Patent No. 6290119 [Overview of the project] [Problems that the invention aims to solve]

[0005] Conventional methods for diagnosing the operating performance of pumps include installing ammeters and vibration sensors on the pumps and estimating the degree of performance degradation (hereinafter sometimes referred to as "performance degradation") from the measured values ​​of current consumption and vibration. However, installing these instruments individually on each pump in water and sewage facilities is not practical from a cost perspective.

[0006] In recent years, attempts have been made to estimate the operating performance of a pump by utilizing the decrease in efficiency due to the deterioration of pump performance. Pump efficiency can be defined as the ratio of the energy of the consumed electricity converted into hydraulic energy, as shown in the formula below, and can be calculated if the pump's discharge flow rate, discharge pressure, and power consumption are known.

[0007] (Efficiency) = (Hydrodynamic energy -) / (Power consumption) = ((Discharge flow rate) × (Discharge pressure)) / (Power consumption) However, in water and sewage facilities, measuring the discharge flow rate, discharge pressure, and power consumption for each individual pump is not practical from a cost perspective. Therefore, in many cases, flow meters, pressure gauges, and power meters are installed only at the junctions of piping or the junctions of power receiving systems that include pump groups, and monitoring is performed on a system-by-system basis. In such cases, since the discharge flow rate, discharge pressure, and power consumption are not measured for each individual pump, it becomes difficult to calculate (estimate) the efficiency of each pump and diagnose the operating performance of the pumps. This problem exists not only in facilities that use pumps to transport water or sludge, but also in facilities that use blowers to supply air or other gases.

[0008] The problem that the invention aims to solve is , style The objective is to provide a machine operation performance estimation device, a machine operation performance estimation method, a water supply system, and a program that enable easy diagnosis of the machine operation performance. [Means for solving the problem]

[0009] The driving performance estimation device of the embodiment comprises a performance curve generation processing unit, an initial performance curve generation processing unit, and a curve drawing processing unit.

[0010] The performance curve generation processing unit generates information on a performance curve representing the operating performance of the fluid machine in operation based on measurement data representing the power consumption of the fluid machine in operation among a plurality of fluid machines, and the flow rate and pressure of the fluid discharged by the fluid machine in operation. The initial performance curve generation processing unit generates information on an initial performance curve representing the initial operating performance of the fluid machine in operation based on test result information indicating the results of an initial performance test of the fluid machine in operation. The performance curve generation processing unit also includes a flow-pressure curve parameter estimation processing unit that uses first measurement data representing the flow rate and pressure of the fluid discharged by the operating fluid machine to determine a flow-pressure curve equation and generates first curve parameters that indicate the values ​​of the coefficients in this equation. The curve drawing processing unit draws the performance curve and the initial performance curve of the fluid machine in operation so as to be comparable based on the information on the performance curve generated by the performance curve generation processing unit and the information on the initial performance curve generated by the initial performance curve generation processing unit. The curve plotting processing unit also includes a time-series pressure plotting processing unit that plots the time-series change of pressure corresponding to a target flow rate, which is a specific flow rate value arbitrarily specified.

Brief Description of Drawings

[0011] [Figure 1] FIG. showing a configuration example of a water supply system to which the operation performance estimation device 10 according to the first to fifth embodiments is applied. [Figure 2] FIG. showing an example of information described in a test report. [Figure 3] FIG. showing an example of drawing a performance curve 61 at the time of pump delivery or immediately after repair and a performance curve 62 estimated from measurement data obtained thereafter. [Figure 4] FIG. showing an example of the functional configuration of the arithmetic processing unit 13 according to the first embodiment. [Figure 5] FIG. showing an example of the operation of the operation performance estimation device 10 according to the first embodiment. [Figure 6] FIG. showing an example of the functional configuration of the arithmetic processing unit 13 according to the second embodiment. [Figure 7] FIG. showing an example of the operation of the operation performance estimation device 10 according to the second embodiment. [Figure 8] FIG. showing an example of the functional configuration of the arithmetic processing unit 13 according to the third embodiment. [Figure 9] FIG. showing an example of drawing so as to be able to compare performance curves (flow rate - pressure curves) 81 and 82 estimated at every certain period. [Figure 10] A flowchart showing an example of the operation of the driving performance estimation device 10 according to the third embodiment. [Figure 11] This figure shows an example of the functional configuration of the arithmetic processing unit 13 according to the fourth embodiment. [Figure 12] This figure shows an example of plotting a flow-pressure curve, as shown in Figure 9, to allow for monthly comparison of pressure values ​​for a specified target flow rate. [Figure 13] A flowchart showing an example of the operation of the driving performance estimation device 10 according to the fourth embodiment. [Figure 14] A diagram showing an example of the functional configuration of the arithmetic processing unit 13 according to the fifth embodiment. [Figure 15] A flowchart showing an example of the operation of the driving performance estimation device 10 according to the fifth embodiment. [Modes for carrying out the invention]

[0012] The embodiments will be described below with reference to the drawings.

[0013] <First Embodiment> (System Configuration) First, the first embodiment will be described.

[0014] Figure 1 shows an example configuration of a water supply system to which the operating performance estimation device according to the first embodiment is applied. Note that the configuration example shown in Figure 1 is also used in the second to fifth embodiments described later.

[0015] The process targeted here is, for example, the water supply process in a water treatment facility. Figure 1 shows an example of a water supply process using four pumps, but this is just one example, and the number of pumps that can be operated is not limited to four. Each pump combines the water through piping before supplying it to the distribution reservoir or consumer (not shown). Furthermore, while this example shows the application of the operational performance estimation device to a facility that uses pumps to send water or sludge, it is not limited to this and can also be applied to facilities that use blowers to send air or other gases.

[0016] The water supply facility shown in Figure 1 has multiple parallel pipes w1 as transport routes for fluids such as water, a confluence w2 located downstream of the confluence, and a single pipe w3 located downstream of the confluence. Multiple pumps (fluid machines) 1 and multiple valves 2 are installed in each of the multiple pipes w1 before the fluids merge. Each of the multiple pumps 1 is selectively controlled to operate or stop by an operation control system described later. A flow meter 3 and a pressure gauge 4 are installed in the confluence w2 or in the pipe w3 after the fluids merge. The flow meter 3 is a sensor that measures the flow rate of fluids such as water flowing through pipe w3. The pressure gauge 4 is a sensor that measures the pressure of fluids such as water flowing through pipe w3.

[0017] Furthermore, this water supply system is equipped with a power supply line P0 that supplies power from a power source to power-demanding equipment including the multiple pumps 1 mentioned above, and switches S are installed to individually switch the supply / stop of power from this power supply line P0 to each power-demanding equipment including the pumps. A power meter 5 is installed on the power supply line P0. The power meter 5 is a sensor that measures the power consumption consumed by the operating pumps 1.

[0018] Furthermore, this water supply system is equipped with an operation control system 6 that individually controls the operation of multiple pumps 1 and monitors their operating status. The operation control system 6 can individually start or stop each of the multiple pumps 1 by operating switches S provided for each pump 1.

[0019] The operating performance estimation device 10 is a device that estimates the operating performance of each pump, and is implemented, for example, by a computer.

[0020] The driving performance estimation device 10 includes input units 11, 12, calculation processing unit 13, storage unit 14, display unit 15, and communication unit 16.

[0021] The input unit 11 is a device for inputting test result information (such as test reports) that shows the results of the initial performance tests of each pump.

[0022] The input unit 12 is a device that inputs online information such as flow rate data (time series) of the flow rate measured by the flow meter 3, pressure data (time series) of the pressure measured by the pressure gauge 4, power data (time series) of the power measured by the power meter 5, and the on / off status of each switch S controlled by the operation control system 6 (i.e., pump operation information that shows in time series which pump 1 is running or stopped).

[0023] The arithmetic processing unit 13 receives the test result information and input from the input unit 11. Part 1 This is a device such as a processor that performs predetermined information processing using the flow rate data, pressure data, power data, and pump operation information input by 2. In this information processing, the arithmetic processing unit 13 generates performance curve information that plots multiple performance curves showing the pump performance at each time point in time so that the change in performance degradation from the initial operating performance to the current operating performance of each pump can be visually grasped, and outputs the generated performance curve information to the storage unit 14, display unit 15, or communication unit 16. Examples of performance curves include flow rate-pressure curves, flow rate-power consumption curves, and flow rate-efficiency curves. The processing performed by the arithmetic processing unit 13 can be implemented as a program to be executed by a computer.

[0024] The storage unit 14 is a device having a storage medium for storing various types of information, such as programs, data, and performance curve information, necessary for the arithmetic processing unit 13 to perform information processing.

[0025] The display unit 15 is a device that displays information such as performance curve information on a screen.

[0026] The communication unit 16 is a device used to transmit information such as performance curve information to another information device and display it on the display unit of that information device.

[0027] (A mathematical model showing driving performance) The operating performance of each pump can be estimated by the calculation processing unit 13 using the flow rate data, pressure data, power data, and pump operation information input to the input unit 12.

[0028] The flow rate and pressure values ​​measured in the water supply process shown in Figure 1 are measured downstream of the confluence section w2. However, if there is only one pump in operation, the discharge flow rate and discharge pressure of the operating pump 1 will be measured. If there is only one pump 1 in operation, the efficiency of pump 1 at time t can be calculated using the following formula, based on the data obtained at the input section 12. η(t)={Q(t)·H(t)} / P(t) …(1) Here, η(t): Efficiency Q(t):Flow rate H(t): Pressure P(t): Power

[0029] Therefore, if sufficient measurement data is available for single-unit operation, it is possible to obtain the relationships between QH (flow rate - pressure), QP (flow rate - power consumption), and Q-η (flow rate - efficiency). Furthermore, it is more convenient to consider performance using a mathematical model rather than simply obtaining data relationships. but There are also advantages. For example, it is generally known that there is a relationship between the flow rate and pressure of a pump, and between the flow rate and power consumption, and that this relationship can be approximated by quadratic or cubic equations, such as those shown in the equation below. H(t)=αQ(t)2+βQ(t)+γ …(2a) P(t)=δQ(t)3+εQ(t)2+λQ(t)+μ …(2b) Here, Q(t):Flow rate H(t): Pressure P(t): Power

[0030] When applying the above relationship to a mathematical model, the coefficients of the equation representing the approximation curve (parameters of the mathematical model) can be determined by solving an optimization problem using measurement data from single-unit operation. Since this problem is a linear optimization problem, it can be solved using the usual least squares method.

[0031] However, depending on the water supply process, multiple pumps may be operating instead of just one, or there may be very little data from single-pump operation. In this case, simply using the data measured by each sensor installed downstream of the confluence w2 makes it difficult to understand the characteristics of each individual pump. The reason for this is explained below.

[0032] As shown in Figure 1, if a flow meter 3 and a pressure gauge 4 are installed in the piping w3 downstream of the confluence w2, and pumps 1 are installed in multiple piping w1 arranged in parallel upstream of the confluence w2, then, ignoring frictional resistance in the pipeline, the discharge pressure of each pump and the fluid pressure downstream of the confluence w2 will be the same value, and it can be assumed that the pressure discharged by each pump 1 is being measured by the pressure gauge 4. However, regarding flow rate, the flow meter 3 measures the "sum" of the discharge flow rates of multiple pumps 1. Therefore, in order to know the discharge flow rate of each pump, it is necessary to estimate it from the measured value of the flow meter 3. If all of the multiple pumps 1 were of the same type, the simplest estimation method would be to divide the measured value of the flow meter by the number of pumps in operation. However, if the degree of performance degradation differs for each pump, accurate estimation cannot be performed because the characteristics of each pump are different.

[0033] For these reasons, it is difficult to estimate the characteristics of each individual pump by simply using the measurement values ​​from each sensor installed downstream of the confluence section w2. In other words, when dealing with measurement data in cases where more than one pump is operating, it is necessary to consider how to handle the discharge flow rate of each pump.

[0034] In this embodiment, a method for estimating an approximate straight line and a method for estimating an approximate curve, as described later, are employed as mathematical models, and the desired estimation is performed by solving an optimization problem formulated based on measurement data acquired when multiple pumps are operating simultaneously. However, the method for estimating an approximate straight line is not necessarily required, and if the approximate curve can be estimated using a method other than the method for estimating an approximate straight line, the method for estimating an approximate straight line may be omitted.

[0035] (Approximate line and approximate curve) In situations where multiple pumps are operating simultaneously, it is desirable to reduce the number of parameters used in the mathematical model when solving the optimization problem, thereby increasing identifiability and obtaining the optimal solution. To achieve this, for example, an approximate straight line can be found from the measured data, and the parameters of the model to be extrapolated, taking into account the characteristics of the pumps, can be determined based on the parameters of the found approximate straight line.

[0036] First, let's explain using the relationship between QH (flow rate - pressure) as an example. We consider an approximate straight line represented by the following equation. This utilizes the fact that, when the actual flow rate range obtained is narrow, the shape of the curve shown by the collected data can often be considered as a straight line. H(t) = aQ(t) + b …(3)

[0037] (3) The parameter a of the approximation line corresponding to a and b in equation (3) i , b i The optimization problem to find the parameter has a small number of parameters, and the identifiability of the parameters is improved compared to using equations (2a) and (2b). The parameter a of the obtained approximate line i , b i Therefore, by assuming several preconditions described later and solving them as a system of equations, the parameter α of the approximation curve can be found. i , β i gamma i Perform the conversion to [the specified format].

[0038] For estimating the parameters of such approximate lines and curves, it is effective to utilize the technology disclosed in Japanese Patent Publication No. 6290119.

[0039] (Exam Report) In this embodiment, in order to make it easier to grasp the degree of performance degradation of each pump, a function is provided to visualize the performance curve representing the initial operating performance of each pump and the performance curve estimated from the measurement data obtained thereafter, so that they can be compared. Here, in order to obtain the performance curve representing the initial operating performance of each pump, for example, the test report attached as a result of the performance test at the time of delivery or repair of each pump is obtained in advance. driving The data is taken into the performance estimation device 10.

[0040] In performance tests, rotational speed, suction pressure, etc., are measured for different discharge rates. The test results obtained from the measurements are often presented in a table format as shown in Figure 2 as a test report, listing the measured values ​​for various items (in the example in Figure 2, items such as rotational speed, discharge rate, discharge head, suction head, total head, theoretical power, current, input, efficiency, pump shaft power, and pump efficiency). These values ​​are then entered into the input unit 11. driving It can be incorporated into the performance estimation device 10.

[0041] In addition, driving To save the effort of inputting data into the performance estimation device 10, the information in the table may be captured using OCR (Optical Character Recognition) technology. Alternatively, the test result information may be captured as tabular data, but since there are generally around 5 measurement points in the performance test, it may also be applied to mathematical models such as equations (1), (2a), and (2b), and the coefficients may be recorded as parameters. Furthermore, since test reports often include graphs of tabular data as shown in Figure 2, the performance curve information may be captured by image processing of the graph image.

[0042] drivingThe test result information received by the performance estimation device 10 is recorded and stored in the memory unit 14 or the like as a performance curve at the time of pump delivery or immediately after repair.

[0043] Figure 3 shows an example in which the performance curve 61 at the time of pump delivery or immediately after repair and the performance curve 62 estimated from subsequent measurement data are plotted on the same graph. By incorporating the performance curve based on the test report, it becomes possible to compare the performance curve 61 at the time of pump delivery or immediately after repair with the performance curve 62 estimated from subsequent measurement data on a screen such as the display unit 15, as shown in Figure 3. The performance curve 61 may be plotted for each pump. Figure 3 is an example of plotting a flow rate-pressure curve, but flow rate-power consumption curves and flow rate-efficiency curves can be plotted in the same way.

[0044] Visualizing the differences between each curve in this way makes it easier to grasp the degree of performance degradation. If the performance curve based on the test report and the performance curve estimated from the subsequent measurement data overlap, it can be considered that there has been no performance degradation. Conversely, if the two diverge, it can be considered highly likely that performance degradation has occurred.

[0045] (Functional configuration of the arithmetic processing unit 13) Figure 4 shows an example of the functional configuration of the arithmetic processing unit 13 according to the first embodiment.

[0046] The arithmetic processing unit 13 includes, as various functions, a performance curve generation processing unit 30, a curve drawing processing unit 40, and an initial performance curve generation processing unit 50. The performance curve generation processing unit 30 is a function that generates performance curve information (for example, the first curve parameter and the second curve parameter described later) that represents the operating performance of the operating pump 1, based on measurement data representing the power consumption of the operating pump 1 among the multiple pumps 1 and the flow rate and pressure of the fluid discharged by the operating pump 1. The initial performance curve generation processing unit 50 is a function that generates information on an initial performance curve (for example, initial curve parameters described later) that represents the initial operating performance of the pump 1 in operation, based on test result information that shows the results of an initial performance test of the pump 1 in operation. The curve plotting processing unit 40 is a function that plots the performance curve of the operating pump 1 and the initial performance curve based on the performance curve information generated by the performance curve generation processing unit 30 and the initial performance curve information generated by the initial performance curve generation processing unit 50, so that they can be compared. The performance curve generation processing unit 30 includes a flow-pressure approximation line estimation processing unit 51, a flow-power approximation line estimation processing unit 52, a flow-pressure curve parameter estimation processing unit 53, and a flow-power curve parameter estimation processing unit 54. The curve drawing processing unit 40 includes a flow-pressure curve drawing processing unit 55, a flow-power consumption curve drawing processing unit 56, and a flow-efficiency curve drawing processing unit 57.

[0047] More specifically, the initial performance curve generation processing unit 50 is a function that, from the test result information (for example, test reports showing the results of initial performance tests for each pump) taken in by the input unit 11, obtains formulas for the flow rate-pressure curve, the flow rate-power consumption curve, and the flow rate-efficiency curve that represent the initial operating performance of the pump 1 in operation, using at least the test result information showing the results of the initial performance tests of the pump in operation, and generates the coefficient values ​​of each formula as initial curve parameters.

[0048] The flow-pressure approximation line estimation processing unit 51 generates information by plotting the flow data, pressure data, and pump operation information input by the input unit 12 as multiple points on a flow-pressure coordinate system, and from this data, it obtains a mathematical formula for an approximation line showing the relationship between flow and pressure (a formula based on the above-mentioned formula (3)), and generates a first linear parameter that shows the value of the coefficient of this formula.

[0049] The flow-power approximation straight line estimation processing unit 52 generates information by plotting the flow data, power data, and pump operation information input to the input unit 12 as multiple points on a flow-power coordinate system, for example, from the second measurement data consisting of flow data, power data, and pump operation information, that is, data representing the flow rate and power consumption of the fluid discharged by the operating pump 1. From this, it obtains a mathematical formula for an approximation straight line showing the relationship between flow rate and power consumption (a formula based on the above-mentioned formula (3)), and generates a second straight line parameter that shows the value of the coefficient of this formula.

[0050] The flow-pressure curve parameter estimation processing unit 53 has the function of deriving a mathematical formula for the flow-pressure curve (e.g., a quadratic curve) from the first linear parameter and generating a first curve parameter that shows the value of the coefficient of this formula. This flow-pressure curve parameter estimation processing unit 53 converts the first linear parameter, which is the parameter of the approximate linear curve, to a first curve parameter, which is the parameter of the quadratic curve, by assuming several preconditions and solving them as a system of simultaneous equations. In this case, the preconditions are, for example, the following three: (1) The shut-off pressure (the pressure when all pumps are not supplying water, in other words, the pressure when all pumps are shut off) must not decrease regardless of pump efficiency. (2) The slope of the tangent line to the flow-pressure curve at the center of the flow range is the same as the slope of the approximating straight line. (3) The flow-pressure curve passes through a point on the approximate straight line at the maximum value of the flow range.

[0051] Alternatively, we can change the second condition above to the following three: (1) The shut-off pressure (the pressure when all pumps are not supplying water, in other words, the pressure when all pumps are shut off) must not decrease regardless of pump efficiency. (2) The flow-pressure curve passes through a point on the approximate straight line at the minimum value of the flow range. (3) The flow-pressure curve passes through a point on the approximate straight line at the maximum value of the flow range.

[0052] The flow-power curve parameter estimation processing unit 54 has the function of deriving the equation of the flow-power curve (e.g., a cubic curve) from the second linear parameter and generating a second curve parameter that shows the value of the coefficient of this equation. This flow-power curve parameter estimation processing unit 54 converts the second linear parameter, which is the parameter of the approximate linear line, to the second curve parameter, which is the parameter of the cubic curve, by assuming several preconditions and solving them as a system of simultaneous equations. In this case, the preconditions are, for example, the following four: (1) The power does not change when the flow rate is zero. (2) The flow rate-power consumption curve passes through a point on the approximate straight line at the minimum value of the flow rate range. (3) The flow rate-power consumption curve passes through a point on the approximate straight line at the maximum value of the flow rate range. (4) The slope of the tangent line to the flow rate-power consumption curve at the center of the flow rate range is the same as the slope of the approximating straight line.

[0053] The flow-pressure curve plotting unit 55 has the function of plotting the flow-pressure curves corresponding to the first curve parameter and the initial curve parameter so that they can be compared.

[0054] The flow-power consumption curve plotting unit 56 has the function of plotting the flow-power consumption curves corresponding to the second curve parameter and the initial curve parameter so that they can be compared.

[0055] The flow-efficiency curve plotting unit 57 has the function of plotting the corresponding flow-efficiency curves from the first and second curve parameters and the initial curve parameters so that they can be compared.

[0056] (operation) Next, an example of the operation of the driving performance estimation device 10 according to the first embodiment will be described with reference to the flowchart in Figure 5. Note that the processes in steps S1 to S4 described later do not necessarily have to be performed in this order, and the order in which they are performed can be changed as appropriate. For example, the order in which the processes in step S1 and step S3 are performed may be swapped, or they may be performed simultaneously.

[0057] The pump performance estimation device 10 is assumed to have pre-loaded test result information, such as test reports attached to each pump at the time of delivery or repair, from the input unit 11.

[0058] In step S1, the operating performance estimation device 10 uses a flow-pressure approximation line estimation processing unit 51 to determine a formula for an approximation line showing the relationship between flow rate and pressure from first measurement data consisting of flow rate data, pressure data, and pump operation information input from the input unit 12, and generates a first linear parameter that indicates the value of the coefficient of this formula. At the same time, the flow-power approximation line estimation processing unit 52 uses a second measurement data consisting of flow rate data, power data, and pump operation information input to the input unit 12 to determine a formula for an approximation line showing the relationship between flow rate and power consumption, and generates a second linear parameter that indicates the value of the coefficient of this formula.

[0059] Next, in step S2, the operating performance estimation device 10 uses the flow-pressure curve parameter estimation processing unit 53 to obtain a mathematical formula for the flow-pressure curve (e.g., a quadratic curve) from the first linear parameter and generates a first curve parameter that shows the value of the coefficient of this formula. At the same time, the flow-power curve parameter estimation processing unit 54 uses the second linear parameter to obtain a mathematical formula for the flow-power consumption curve (e.g., a cubic curve) and generates a second curve parameter that shows the value of the coefficient of this formula.

[0060] On the other hand, in step S3, the operating performance estimation device 10, using the initial performance curve generation processing unit 50, obtains formulas for the flow rate-pressure curve, the flow rate-power consumption curve, and the flow rate-efficiency curve that represent the initial operating performance of the operating pump 1 from the test result information (for example, information such as a test report showing the results of the initial performance test of the pump at the time of delivery) taken in by the input unit 11, and generates the coefficient values ​​of each formula as initial curve parameters.

[0061] Finally, in step S4, the operating performance estimation device 10 uses the flow-pressure curve drawing processing unit 55 to draw the flow-pressure curves corresponding to the first curve parameter and the initial curve parameter so that they can be compared, the flow-power consumption curve drawing processing unit 56 to draw the flow-power consumption curves corresponding to the second curve parameter and the initial curve parameter so that they can be compared, and the flow-efficiency curve drawing processing unit 57 to draw the flow-efficiency curves corresponding to the first and second curve parameters and the initial curve parameter so that they can be compared.

[0062] The processing in step S4 generates performance curve information that allows various performance curves to be compared. The performance curve information is output to the storage unit 14, the display unit 15, or the communication unit 16.

[0063] According to the first embodiment, the operating performance estimation device 10 receives test result information, such as test reports attached as a result of performance tests when each pump is delivered or repaired. A performance curve representing the initial operating performance is then generated from this test result information. This performance curve and the performance curve estimated from subsequently obtained measurement data are plotted together for comparison, making it possible to visualize the difference between each curve and making it easier for the user to grasp the degree of performance degradation.

[0064] <Second Embodiment> (System Configuration) Next, a second embodiment will be described. The following description will focus on the differences from the first embodiment described above. The overall system configuration is the same as shown in Figure 1, so its explanation will be omitted here.

[0065] (Functional configuration of the arithmetic processing unit 13) Figure 6 shows an example of the functional configuration of the arithmetic processing unit 13 according to the second embodiment. Here, we will explain the differences from the configuration shown in Figure 4 above.

[0066] As shown in Figure 6, within the operating performance estimation device 10, the flow-pressure curve parameter estimation processing unit 53 determines the first curve parameter from the first linear parameter generated by the flow-pressure approximation linear estimation processing unit 51 and the initial curve parameter generated by the initial performance curve generation processing unit 50. Furthermore, the flow-power curve parameter estimation processing unit 54 determines the second curve parameter from the second linear parameter generated by the flow-power approximation linear estimation processing unit 52 and the initial curve parameter generated by the initial performance curve generation processing unit 50.

[0067] In this embodiment, the parameters of the performance curve based on test reports, etc. (i.e., initial curve parameters) are also used to supplement the estimation results of the performance curve. This makes it possible to suppress the decrease in the estimation accuracy of curve parameters when linear parameters cannot be determined with high accuracy.

[0068] In the foregoing first embodiment, the parameters of the approximate curve were obtained based on the linear parameters of the mathematical formula based on the estimated formula (3). Therefore, in order to accurately obtain the parameters of the approximate curve, it is necessary to accurately obtain the linear parameters. However, there are cases where the linear parameters cannot be accurately obtained due to the influence of outliers or the like. In this case, it is possible to improve the accuracy by obtaining the parameters of the approximate curve by taking into account, for example, the information in the test report in addition to the linear parameters rather than obtaining the parameters of the approximate curve only from the linear parameters. This is because the shape of the performance curve after the estimated performance degradation from the measurement data can be used as prior information to be similar to the shape of the performance curve based on the test report.

[0069] For example, assuming that the Q-H (flow rate - pressure) of formula (2a) is the performance curve based on the test report, the Q-H (flow rate - pressure) performance curve obtained from the measurement data after the performance degradation is assumed to have substantially the same form with β and γ unchanged and α replaced by α' as shown in the following formula (4). H(t)=α′Q(t) 2 +βQ(t)+γ …(4)

[0070] Here, if a representative value Q of a certain flow rate c is determined, the point (Q c and the corresponding representative value H of the pressure c ) on the approximate straight line can be expressed as "(Q c , H c ) = aQ c , H c ) = aQ c + b".

[0071] If the Q-H (flow rate - pressure) performance curve shown in formula (4) passes through the point (Q c , H c ), α' can be obtained as shown in the following formula (5) using the parameters a and b of the approximate straight line and the curve parameters β and γ of the approximate curve based on the test report. α′=(H c -βQ c -γ) / Q c 2 =(aQ c +b-βQ c -γ) / Q c 2 …(5)

[0072] In this way, by not only using the parameters of the approximate straight line, but also using the parameters of the approximate curve based on the test report (i.e., the initial curve parameters), and making the parameters of the performance curve obtained from the measurement data similar in shape to the parameters of the approximate curve based on the test report, it is possible to suppress the decrease in the estimation accuracy of the curve parameters when the linear parameters cannot be determined with high accuracy.

[0073] In this embodiment, we assumed that the obtained estimated curve is given by equation (4), but equation (4) is merely an example, and the assumption may be changed or made in a different form depending on the situation of estimating the approximation line.

[0074] (operation) Next, an example of the operation of the driving performance estimation device 10 according to the second embodiment will be explained with reference to the flowchart in Figure 7. Here, we will explain the differences from the flowchart in Figure 5 described above.

[0075] In Figure 7, step S2 shown in Figure 5 has been changed to step S2'.

[0076] In step S2', the operating performance estimation device 10 uses the flow-pressure curve parameter estimation processing unit 53 to determine the first curve parameter from the first linear parameter generated by the flow-pressure approximation linear estimation processing unit 51 and the initial curve parameter generated by the initial performance curve generation processing unit 50, and the flow-power curve parameter estimation processing unit 54 to determine the second curve parameter from the second linear parameter generated by the flow-power approximation linear estimation processing unit 52 and the initial curve parameter generated by the initial performance curve generation processing unit 50.

[0077] According to the second embodiment, when estimating the curve parameters of a performance curve obtained from measurement data, using the parameters of an approximate curve based on the test report makes it possible to suppress a decrease in the estimation accuracy of curve parameters when linear parameters cannot be determined with high accuracy.

[0078] <Third Embodiment> (System Configuration) Next, a third embodiment will be described. The following description will focus on the differences from the second embodiment described above. The overall system configuration is the same as shown in Figure 1, so its explanation will be omitted here.

[0079] (Functional configuration of the arithmetic processing unit 13) Figure 8 shows an example of the functional configuration of the arithmetic processing unit 13 according to the third embodiment. Here, we will explain the differences from the configuration shown in Figure 6 above.

[0080] As shown in Figure 8, the driving performance estimation device 10 is equipped with a curve parameter database (first storage unit) 71. This curve parameter database 71 stores the first curve parameters as past first curve parameters, and stores the second curve parameters as past second curve parameters.

[0081] The flow-pressure curve plotting unit 55 plots the flow-pressure curves corresponding to the first curve parameters, the past first curve parameters, and the initial curve parameters, so that they can be compared.

[0082] The flow-power consumption curve plotting unit 56 plots the flow-power consumption curves corresponding to the second curve parameter, the past second curve parameter, and the initial curve parameter, so that they can be compared.

[0083] The flow-efficiency curve plotting processing unit 57 plots the flow-efficiency curves corresponding to the first and second curve parameters, the past first and second curve parameters, and the initial curve parameters, so that they can be compared.

[0084] In this embodiment, the parameters of each pump's performance curve (i.e., the first curve parameter and the second curve parameter) are also used later as historical curve parameters. This makes it possible to plot each pump's performance curve in a way that allows comparison with past performance curves.

[0085] By recording the estimated performance curve parameters as past curve parameters, it becomes possible to plot performance degradation over time using multiple curves for the same flow rate range, making it easier for users to understand the differences between each curve. There are no particular functional restrictions on the timing of recording the estimated performance curve parameters, but by estimating the performance curve based on measurement data at regular intervals and comparing the individual estimation results, it becomes easier to understand the degree of pump performance degradation and when the performance degradation begins. Figure 9 shows an example of visualization according to the third embodiment.

[0086] Figure 9 shows the results of plotting performance curves (flow-pressure curves) estimated at regular intervals for comparison. Performance curve 81 is an estimate from the past, and performance curve 82 is an estimate from the present. It can be seen that at a certain flow rate, the pressure value in performance curve 82 is lower than the pressure value in performance curve 81.

[0087] The timing for estimating the performance curve to be visualized can be on a monthly, 3-month, 6-month, or even yearly basis. However, it is desirable to estimate over a period that is necessary and sufficient to improve estimation accuracy, depending on the characteristics of the measurement data, and ideally as short as possible. Also, for ease of viewing, Figure 9 shows two performance curves, but more than two are also acceptable. Furthermore, while Figure 9 shows the QH (flow rate - pressure) curve, the QP (flow rate - power consumption) curve and the Q-η (flow rate - efficiency) curve can be visualized in the same way. For example, if past performance curves overlap with the performance curve estimated at the present time, it can be considered that the operating performance has not deteriorated. Conversely, if the two diverge, it can be considered that there is a high possibility that performance deterioration is occurring.

[0088] (operation) Next, an example of the operation of the driving performance estimation device 10 according to the third embodiment will be explained with reference to the flowchart in Figure 10. Here, we will explain the differences from the flowchart in Figure 7 described above.

[0089] In Figure 10, a new step S5 is inserted after step S2'. Furthermore, in Figure 10, step S4 shown in Figure 7 has been changed to step S4'.

[0090] In step S5, the driving performance estimation device 10 stores the first curve parameter as past first curve parameter in the curve parameter database 71, and stores the second curve parameter as past second curve parameter.

[0091] Next, in step S4', the operating performance estimation device 10 uses the flow-pressure curve drawing processing unit 55 to draw the flow-pressure curves corresponding to the first curve parameters, the past first curve parameters, and the initial curve parameters so that they can be compared; the flow-power consumption curve drawing processing unit 56 to draw the flow-power consumption curves corresponding to the second curve parameters, the past second curve parameters, and the initial curve parameters so that they can be compared; and the flow-efficiency curve drawing processing unit 57 to draw the flow-efficiency curves corresponding to the first and second curve parameters, the past first and second curve parameters, and the initial curve parameters so that they can be compared.

[0092] The processing in step S4' generates performance curve information that allows various performance curves to be compared. The performance curve information is output to the storage unit 14, the display unit 15, or the communication unit 16.

[0093] According to the third embodiment, by plotting the performance curve of each pump in a way that allows comparison with past performance curves, the differences between each curve can be visualized, making it easier for the user to understand the degree of performance degradation.

[0094] <Fourth Embodiment> (System Configuration) Next, we will describe the fourth embodiment. The following description will focus on the differences from the third embodiment described above. The overall system configuration is the same as shown in Figure 1, so its explanation will be omitted here.

[0095] (Functional configuration of the arithmetic processing unit 13) Figure 11 shows an example of the functional configuration of the arithmetic processing unit 13 according to the fourth embodiment. Here, we will explain the differences from the configuration shown in Figure 8 above.

[0096] Although the flow-pressure curve plotting unit 55, flow-power consumption curve plotting unit 56, and flow-efficiency curve plotting unit 57 mentioned above are omitted in Figure 11, these units 55, 56, and 57 may be configured to exist, or they may be omitted as shown in Figure 11. The curve plotting unit 40 includes a time-series pressure plotting unit 91, a time-series power consumption plotting unit 92, and a time-series efficiency plotting unit 93.

[0097] The time-series pressure plotting processing unit 91, the time-series power consumption plotting processing unit 92, and the time-series efficiency plotting processing unit 93 are configured to allow a specific flow rate value (hereinafter referred to as "target flow rate"), which can be arbitrarily specified by the user, to be input from the input unit 11 or the like as needed.

[0098] The time-series pressure plotting processing unit 91 is a function that plots the time-series changes in pressure corresponding to a specified target flow rate.

[0099] The time-series power consumption plotting processing unit 92 is a function that plots the time-series changes in power consumption corresponding to a specified target flow rate.

[0100] The time-series efficiency plotting processing unit 93 is a function that plots the time-series changes in efficiency corresponding to a specified target flow rate.

[0101] In this embodiment, when plotting the performance curve of each pump so that it can be compared with past performance curves, the time-series changes in pressure, power consumption, and efficiency corresponding to the target flow rate specified by the user are made possible.

[0102] While visualizations like the one shown in Figure 9 make it easy to understand the degree of pump performance degradation and when the degradation begins, interpreting the data can become difficult for users if the number of curves drawn increases. Furthermore, while visualizations like the one in Figure 9 allow for the examination of results across a wide flow rate range, the actual operating point of a pump is often limited to a specific flow rate range, and there may be a demand to focus comparisons on a specific flow rate.

[0103] For example, if one target flow rate is selected for the multiple QH (flow rate - pressure) curves shown in Figure 9, the corresponding pressure will correspond to one value for each curve. Therefore, by selecting one target flow rate, it is possible to see how the corresponding value changes over time and to check the degree of pump performance degradation. Figure 12 shows an example of visualization according to the fourth embodiment.

[0104] Figure 12 shows the results of plotting the pressure values ​​for a specified target flow rate on a monthly basis, based on the QH (flow rate - pressure) curve shown in Figure 9.

[0105] In the example in Figure 12, the pressure for each month for a specified target flow rate is represented by points, and the monthly pressure changes are visualized by the lines 100 connecting these points. Although Figure 12 shows an example of visualizing the change in "pressure" based on the QH (flow rate - pressure) curve, changes in "power consumption" based on the QP (flow rate - power consumption) curve and changes in "efficiency" based on the Q-η (flow rate - efficiency) curve can be visualized in a similar manner.

[0106] This approach makes it easier to understand how performance metrics such as pressure, power consumption, and efficiency change over time. Furthermore, displaying the horizontal axis as a time series avoids the problem of user interpretation difficulties with the plot shown in Figure 9, especially when dealing with a large number of estimation results, allowing for comparison of multiple estimation outcomes.

[0107] (operation) Next, an example of the operation of the driving performance estimation device 10 according to the fourth embodiment will be described with reference to the flowchart in Figure 13. Here, we will explain the differences from the flowchart in Figure 10 described above.

[0108] Although step S4' shown in Figure 10 is omitted from Figure 13, it is assumed that step S4' exists. This step S4' includes a new step S4''.

[0109] In step S4", when a target flow rate is specified by the user, the operating performance estimation device 10 uses the time-series pressure plotting processing unit 91 to plot the time-series change of pressure corresponding to the specified target flow rate, the time-series power consumption plotting processing unit 92 to plot the time-series change of power consumption corresponding to the specified target flow rate, and the time-series efficiency plotting processing unit 93 to plot the time-series change of efficiency corresponding to the specified target flow rate.

[0110] According to the fourth embodiment, when plotting the performance curve of each pump in a way that allows comparison with past performance curves, the differences in pressure, power consumption, and efficiency for a specific flow rate can be visualized, making it easier for the user to understand the degree of performance degradation.

[0111] <Fifth Embodiment> (System Configuration) Next, a fifth embodiment will be described. The following description will focus on the differences from the second embodiment described above. The overall system configuration is the same as shown in Figure 1, so its explanation will be omitted here.

[0112] (Functional configuration of the arithmetic processing unit 13) Figure 14 shows an example of the functional configuration of the arithmetic processing unit 13 according to the fifth embodiment. Here, we will explain the differences from the configuration shown in Figure 6 above.

[0113] As shown in Figure 14, the operating performance estimation device 10 is equipped with a curve parameter database (second storage unit) 71'. This curve parameter database 71' pre-stores a third curve parameter obtained by the flow-pressure curve parameter estimation processing unit 53 and a fourth curve parameter obtained by the flow-power curve parameter estimation processing unit 54 when a different pump from the currently operating pump is operated.

[0114] The flow-pressure curve parameter estimation processing unit 53 has the function of determining the first curve parameter using the third curve parameter. In this case, the third curve parameter may be output as the first curve parameter.

[0115] The flow-power curve parameter estimation processing unit 54 has the function of determining the second curve parameter using the fourth curve parameter. In this case, the fourth curve parameter may be output as the second curve parameter.

[0116] In this embodiment, the parameters of the performance curve obtained when operating a different pump than the one currently in operation (i.e., the third and fourth curve parameters) are used to supplement the current performance curve estimation results. This makes it possible to suppress the decrease in the estimation accuracy of curve parameters when it is not possible to accurately determine linear parameters, and when it is not possible to accurately determine curve parameters even by using the information in the test report.

[0117] In the second embodiment described above, when linear parameters could not be determined accurately, the parameters of the approximate curve were determined by taking into account the information in the test report. However, if the information in the test report is not available or is insufficient, the accuracy of the estimation of the curve parameters decreases. However, in water supply processes, the types of multiple pumps installed together are often the same. Therefore, in this embodiment, it is assumed that the shape of the performance curve after performance degradation, estimated from the measurement data, will be similar to the shape of the performance curves of the other pumps, and the estimation results of the performance curves of the other pumps are used.

[0118] (operation) Next, an example of the operation of the driving performance estimation device 10 according to the fifth embodiment will be explained with reference to the flowchart in Figure 15. Here, we will explain the differences from the flowchart in Figure 7 described above.

[0119] In Figure 15, new steps S6 and S7 are inserted before step S4. Furthermore, although not shown in Figure 15, steps S1 and S2', as shown in Figure 7, precede step S6. However, steps S1 and S2' are performed while another pump is running.

[0120] The operating performance estimation device 10 performs steps S1 and S2' while another pump is in operation. Specifically, the operating performance estimation device 10 generates a third curve parameter corresponding to the other pump using the flow-pressure curve parameter estimation processing unit 53, and generates a fourth curve parameter corresponding to the other pump using the flow-power curve parameter estimation processing unit 54.

[0121] In step S6, the driving performance estimation device 10 stores the third curve parameter and the fourth curve parameter in the curve parameter database 71'.

[0122] Next, in step S7, the operating performance estimation device 10 uses the flow-pressure curve parameter estimation processing unit 53 to determine the first curve parameter using the third curve parameter, and uses the flow-power curve parameter estimation processing unit 54 to determine the second curve parameter using the fourth curve parameter.

[0123] According to the fifth embodiment, when linear parameters cannot be determined accurately, and when curve parameters cannot be determined accurately even by using the information in the test report, the decrease in the estimation accuracy of curve parameters can be suppressed.

[0124] As detailed above, according to the embodiment, the operating performance of each individual fluid machine can be easily diagnosed.

[0125] While several embodiments of the present invention have been described, these embodiments are presented as examples only and are not intended to limit the scope of the invention. These novel embodiments can be carried out in a variety of other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims of the invention and its equivalents. [Explanation of Symbols]

[0126] 1...Multiple pumps (fluid machinery), 2...Valves, 3...Flow meter, 4...Pressure gauge, 5...Power meter, 6...Operation control system, 10...Operation performance estimation device, 11,12...Input unit, 13...Calculation unit, 14...Storage unit, 15...Display unit, 16...Communication unit, 30...Performance curve generation unit, 40...Curve drawing unit, 50...Initial performance curve generation unit, 51...Flow-pressure approximation straight line estimation unit, 52...Flow-power approximation straight line estimation unit, 53...Flow-pressure curve parameter estimation unit, 54...Flow-power curve parameter estimation unit, 55...Flow-pressure curve drawing unit, 56...Flow-power consumption curve drawing unit, 57...Flow-efficiency curve drawing unit, 71...Curve parameter database (first storage unit), 71'...Curve parameter database (second storage unit), P0...Power supply line, w1,w3...Piping, w2...Confluence.

Claims

1. A performance curve generation processing unit generates performance curve information representing the operating performance of a fluid machine in operation, based on measurement data representing the power consumption of the fluid machine in operation and the flow rate and pressure of the fluid discharged by the fluid machine in operation, among a plurality of fluid machines. An initial performance curve generation processing unit generates information on an initial performance curve representing the initial operating performance of the fluid machine in operation, based on test result information showing the results of an initial performance test of the fluid machine in operation, A curve drawing processing unit draws a curve so that the performance curve of the operating fluid machine and the initial performance curve can be compared, based on the performance curve information generated by the performance curve generation processing unit and the initial performance curve information generated by the initial performance curve generation processing unit. It is equipped with, The performance curve generation processing unit includes a flow-pressure curve parameter estimation processing unit that uses first measurement data representing the flow rate and pressure of the fluid discharged by the operating fluid machine to determine a flow-pressure curve equation and generates first curve parameters that indicate the values ​​of the coefficients in this equation. The curve plotting processing unit includes a time-series pressure plotting processing unit that plots the time-series change of pressure corresponding to a target flow rate, which is a specific flow rate value arbitrarily specified. Driving performance estimation device.

2. The performance curve generation processing unit further, The system includes a flow-power curve parameter estimation processing unit that uses second measurement data representing the power consumption of the fluid machine in operation and the flow rate of the fluid discharged by the fluid machine in operation to determine a flow-power curve equation and generate a second curve parameter that indicates the value of the coefficient of this equation. The driving performance estimation device according to claim 1.

3. The initial performance curve generation processing unit is: From the test result information showing the results of the initial performance test of the fluid machine in operation, the formulas for the flow rate-pressure curve, the flow rate-power consumption curve, and the flow rate-efficiency curve representing the operating performance of the fluid machine in operation are obtained, and the coefficient values ​​of each formula are generated as initial curve parameters. The driving performance estimation device according to claim 2.

4. The curve drawing processing unit is A flow-pressure curve plotting processing unit plots flow-pressure curves corresponding to the first curve parameter and the initial curve parameter so that they can be compared, A flow-power consumption curve plotting processing unit plots the flow-power consumption curves corresponding to the second curve parameter and the initial curve parameter, respectively, so that they can be compared. A flow-efficiency curve plotting processing unit plots the flow-efficiency curves corresponding to the first and second curve parameters and the initial curve parameters, respectively, so that they can be compared. including, The driving performance estimation device according to claim 3.

5. The aforementioned flow-pressure curve parameter estimation processing unit is: The first curve parameter is determined by further using the initial curve parameter. The aforementioned flow-power curve parameter estimation processing unit is: The second curve parameter is determined by further using the initial curve parameter. The driving performance estimation device according to claim 3 or 4.

6. The system further comprises a first storage unit that stores the first curve parameter as past first curve parameter and stores the second curve parameter as past second curve parameter, The aforementioned flow-pressure curve plotting processing unit is: The flow-pressure curves corresponding to the first curve parameters, the past first curve parameters, and the initial curve parameters are plotted so that they can be compared. The flow rate-power consumption curve plotting processing unit is, The flow rate-power consumption curves corresponding to the second curve parameter, the past second curve parameter, and the initial curve parameter are plotted so that they can be compared. The flow-efficiency curve plotting processing unit is, The flow-efficiency curves corresponding to the first and second curve parameters, the past first and second curve parameters, and the initial curve parameters are plotted so that they can be compared. The driving performance estimation device according to claim 4.

7. The curve drawing processing unit further, A time-series power consumption plotting processing unit plots the time-series changes in power consumption corresponding to the aforementioned target flow rate, A time-series efficiency plotting processing unit that plots the time-series change in efficiency corresponding to the target flow rate, including, The driving performance estimation device according to any one of claims 2 to 6.

8. The system further comprises a second storage unit that stores a third curve parameter obtained by the flow-pressure curve parameter estimation processing unit and a fourth curve parameter obtained by the flow-power curve parameter estimation processing unit when a different fluid machine, different from the fluid machine currently in operation, is operated. The aforementioned flow-pressure curve parameter estimation processing unit is: Using the third curve parameter, the first curve parameter is determined. The aforementioned flow-power curve parameter estimation processing unit is: Using the fourth curve parameter, the second curve parameter is determined. The driving performance estimation device according to any one of claims 2 to 7.

9. The performance curve generation processing unit generates performance curve information representing the operating performance of a fluid machine in operation based on measurement data representing the power consumption of the fluid machine in operation and the flow rate and pressure of the fluid discharged by the fluid machine in operation. Using first measurement data representing the flow rate and pressure of the fluid discharged by the fluid machine in operation, it derives a mathematical formula for the flow rate-pressure curve and generates first curve parameters that indicate the values ​​of the coefficients in this formula. The initial performance curve generation processing unit generates information on an initial performance curve representing the initial operating performance of the fluid machine in operation, based on test result information showing the results of an initial performance test of the fluid machine in operation. The curve drawing processing unit draws the performance curve of the operating fluid machine and the initial performance curve based on the performance curve information and the initial performance curve information so that they can be compared. Includes, Furthermore, the curve plotting processing unit includes plotting the time-series change of pressure corresponding to a target flow rate, which is an arbitrarily specified specific flow rate value. Method for estimating driving performance.

10. On the computer, A procedure for generating performance curve information representing the operating performance of a fluid machine in operation based on measurement data representing the power consumption of the fluid machine in operation and the flow rate and pressure of the fluid discharged by the fluid machine in operation, deriving a flow rate-pressure curve equation using first measurement data representing the flow rate and pressure of the fluid discharged by the fluid machine in operation, and generating first curve parameters that represent the values ​​of the coefficients in this equation, A procedure for generating information on an initial performance curve representing the initial operating performance of a fluid machine in operation, based on test result information showing the results of an initial performance test of the fluid machine in operation, A procedure for plotting a comparison between the performance curve and the initial performance curve of a fluid machine in operation, based on the performance curve information and the initial performance curve information, The procedure for plotting the time-series change of pressure corresponding to a target flow rate, which is a specific flow rate value arbitrarily specified, and A program to execute.

11. Multiple fluid machines, each installed in multiple pipes and whose operation or shutdown is selectively controlled, A flow meter and a pressure meter are provided in one pipe connected to the downstream side of the aforementioned plurality of pipes via a confluence, for measuring the flow rate and pressure of the fluid, respectively. A power meter for measuring the power consumption of one of the fluid machines in operation, Driving performance estimation device and It is equipped with, The aforementioned driving performance estimation device is A performance curve generation processing unit generates performance curve information representing the operating performance of the fluid machine based on measurement data representing the power consumption of the fluid machine in operation and the flow rate and pressure of the fluid discharged by the fluid machine in operation, An initial performance curve generation processing unit generates information on an initial performance curve representing the initial operating performance of the fluid machine in operation, based on test result information showing the results of an initial performance test of the fluid machine in operation, The system includes a curve drawing processing unit that draws a curve so that the performance curve of the operating fluid machine and the initial performance curve can be compared, based on the performance curve information generated by the performance curve generation processing unit and the initial performance curve information generated by the initial performance curve generation processing unit. The performance curve generation processing unit includes a flow-pressure curve parameter estimation processing unit that uses first measurement data representing the flow rate and pressure of the fluid discharged by the operating fluid machine to determine a flow-pressure curve equation and generates first curve parameters that indicate the values ​​of the coefficients in this equation. The curve plotting processing unit includes a time-series pressure plotting processing unit that plots the time-series change of pressure corresponding to a target flow rate, which is a specific flow rate value arbitrarily specified. Water supply system.

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